Triple

T14930685
Position Surface form Disambiguated ID Type / Status
Subject Wang Yifang E372254 entity
Predicate givenName P17 FINISHED
Object Yifang
Yifang is a given name of Chinese origin used for both males and females.
 E1128760 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yifang | Statement: [Wang Yifang, givenName, Yifang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yifang
Context triple: [Wang Yifang, givenName, Yifang]
  • A. Yuzhou
    Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
  • B. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • C. Huili
    Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yifang
Triple: [Wang Yifang, givenName, Yifang]
Generated description
Yifang is a given name of Chinese origin used for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yifang
Target entity description: Yifang is a given name of Chinese origin used for both males and females.
  • A. Yuzhou
    Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
  • B. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • C. Huili
    Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8ac6d08190809045a6d00a3d47 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7fe58ba481908ac8e4112c28c279 completed May 9, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 10, 2026, 2:36 a.m.